Google Cloud Platform Fundamentals : Cloud Infrastructure

Kharagpur Winter of Code 2018

Runner Up - OpenCode18

Microsoft Technical Associate - Machine Learning

Winner - Smart India Hackathon 2019

Winner - OpenTechNights

21 Under 21 - Girlscript India Summit

Neural Networks and Deep Learning

AI Workflow: Data Analysis and Hypothesis Testing

Fundamentals of Quantitative Modeling

Member

Currently a basic member in PSF. https://www.python.org/users/rahulkumaran/

Basic Member

President

https://wiki.python.org/psf/RahulArulkumaran

Contributing / Managing Member

Volunteer for the 2018 edition of PyCon India being held in Hyderabad. Helping the tech and social media team.

Volunteer

Intermediate

Bachelor of Technology (B.Tech.)

Master of Science - MS

- Built highly scalable and idempotent ETL pipelines to capture and store 10+ TBs of historic data and 10+ GB of data in the data lake on a daily basis.

- Utilized various AWS services like S3, Glue, Athena, ECS, Kinesis to build scalable data pipelines and Docker, Terraform, GitLab jobs and ECS to manage the pipelines.

- Collected and exposed critical data from 27 different sources to internal clients via Snowflake and Athena.

- Co-Led the exploration and implementation of Mulesoft as an ETL and API development tool.

- Built 2 system APIs and 1 process APIs using Mulesoft, for exposing certain data to internal clients, while focusing on API led connectivity.

- Reduced the response time by 95% for getting data out of a certain internal API to expose data to various teams.

- Leading the exploration and implementation of the MLOps platform.

- Extracted data from various sources with data in the form of REST APIs, SQL, NoSQL, Grafana, Mimir, GraphQL.

- Reconciled data from various

Data Engineer II

- Worked on building and learning about various machine learning models.

- Took a couple of datasets and used multiple machine learning algorithms to understand which was the best.

- Worked on SMS and Email Spam Filters.

Machine Learning Intern

Member & Early Adopter

- Identified a new feature for the organisation’s product, Auris, to help clients leverage user generated content to
predict company growth in terms of stock prices.

- Designed a structure to segregate companies, brands and products and compute Net Promoter Scores through custom formulae leveraging ratings and reviews of products from E-Commerce websites.

- Collected data through a custom scraper, analysed data (312,857 ratings and 122,123 reviews) and reported in-
sights in an orderly manner to the company hierarchy comprising the CEO and CTO on a regular basis.

Data Science Intern

- Worked under Prof. Amitava Das on understanding the process of radicalization by various extremist groups around the world through social media platforms and predicting whether a user is vulnerable or not.

- The dataset had been built from scratch and 70 primary nodes have been identified and manually annotated to see how lethal and influential they are.

- These 70 targets were then used to get 204 million more data points from their first and second hop network and predict user vulnerablility depending on a number of network dynamics measures.

- Classified users as radical, vulnerable and inert by performing social network analysis and content based analysis based on custom formula to calculate lethality score.

- Built a Naive Bayes classifier with an accuracy of 79%, while the SVM gave a lesser accuracy to identify radicals and vulnerable people on Twitter.

- Presented works at 2 major conferences - AI Workshop at IIIT-Hyderabad and IC2S2 2019.

Undergraduate Researcher

Technical Reviewer

- Architected end-to-end data collection pipelines for various Proof of Stake protocols like Cosmos, Polkadot.

- Started the Data Analytics initiative for Proof of Stake protocols and generated extremely valuable performance and revenue insights backed by 7 KPIs to optimise operations for certain validator nodes.

- Designed a custom NLP model for Named Entity Recognition to procure data from unstructured data to replace web scrapers to collect data.

Data Engineer - Intern, Crypto

- Handled the Data Science, Technology, Strategy and Marketing teams at Widhya.

- Recognised at the "Top 10 Fastest Growing E-learning startups" in 2021

- Introduced a key initiative, the Widhya Beta Program, that allows Widhya to focus on creating content/Missions over open source projects. Focused on a crowd sourcing strategy to develop more quality Missions in shorter time frames.

- Generated 2 key reports that assist us in approaching students and potential partner companies with metrics regarding Widhya's effectiveness and performance so far and has helped convince and onboard 5 companies in one month.

- Raised over INR 2L in revenue in the first 5 operational months.

- Drove a zero-cost marketing strategy which resulted in sales of over INR 50k in a span of 2 days.

- Scaled from 500 to 15,000 users in a span of 2 months purely by adopting a data driven, 0-cost marketing approach.

Co-Founder - CEO & Head of Data Science

AI Engineering Manager

- Analyzed product data across various e-commerce platforms like Amazon, Flipkart, etc. and came up with a way to automate product adoption rates.

- Scraped negative reviews and built a system to automatically push negative reviews to stakeholders.

- Studied various e-commerce platforms and suggested the company ways to create and improve brand awareness.

- Handled various sales initiatives and deployed data driven strategies to improve sales.

Growth Data Analyst

- Worked on procuring on-chain data and building the portfolio page and designed metrics that would be useful for end users to see and track portfolio performance.

- Developed custom APIs for on-chain data procurement for ease of usability by the frontend team.

- Architected solution from scratch to capture data from multiple sources.

- Audited certain smart contracts.

Developer

- Architected a subnet to predict the price of S&P 500 on BitTensor - helped create a new business line that's projected to be a multi million dollar revenue generating business annually.

- Have a 100% utilisation of the 256 miner slots on our subnet.

- Led the development of various statistical models and neural networks to push self mining efforts on our subnet.

- Led the development of ML Models for other subnets across Bittensor to mine on.

- Responsible for the research and setup of an MLOps platform for the organization.

AI/ML Engineer Fellow

Data Engineer III

OnDeck Fellow

Member - AI & Crypto

Builder

Always selling, building & hiring
Reach out at rahul@trybrowzer.com

Founder

Founder @ Browzer | 3x Founder, 2 exits

Know about Rahul Arulkumaran's work experience, education, and much more. Rahul Arulkumaran